1.Carbon footprint accounting of traditional Chinese medicine extracts based on life cycle assessment: a case study of mulberry leaf extract from an enterprise.
Zhi-Min CI ; Jian-Xiang OU ; Qiang YU ; Chuan ZHENG ; Zhao-Qing PEI ; Li-Ping QU ; Ming YANG ; Li HAN ; Ding-Kun ZHANG
China Journal of Chinese Materia Medica 2025;50(1):120-129
Under the background of carbon peaking and carbon neutrality goals, the Ministry of Ecology and Environment, together with 15 national ministries and commissions, has formulated the Implementation Plan on Establishing a Carbon Footprint Management System, and it is urgent for traditional Chinese medicine(TCM) pharmaceutical enterprises to carry out research on carbon footprint accounting methods of related products. Based on the life cycle assessment(LCA) theory, taking mulberry leaf extract produced by a certain enterprise as an example, this study analyzed the carbon footprint of TCM extracts during the life cycle. The results show that for every 1 kg of product produced, the carbon emissions from the stages of raw material acquisition, transportation, and extract production are-20.569, 1.205, and 173.577 kgCO_2eq(CO_2 equivalent), respectively. The carbon footprint of the product is 154.213 kgCO_2eq·kg~(-1). In addition, the carbon emission is the highest in the production stage, in which the consumption of ethanol solvents makes the greatest contribution to the carbon footprint, accounting for 25.71%, more than one-fourth of the total carbon footprint. The second contribution was from the treatment process of TCM residues, accounting for 19.67%, closely followed by wastewater treatment(17.71%), the consumption of hot steam(17.43%), and drinking water(16.90%). The consumption of electric power and packaging materials has a smaller carbon emission of 2.58%. In particular, the carbon emission caused by the consumption of packaging materials is only 0.04%, which is negligible. The results of the study are expected to provide a reference for TCM enterprises to carry out research on the carbon footprint of products, offer ideas for collaborative innovation in reducing pollution and carbon emissions throughout the entire industry chain of TCM, and develop new quality productivity of modern TCM industry based on green and low-carbon manufacturing.
Morus/chemistry*
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Plant Leaves/chemistry*
;
Carbon Footprint
;
Drugs, Chinese Herbal/chemistry*
;
Plant Extracts/analysis*
;
Medicine, Chinese Traditional
2.Grounded theory, scientific connotation, and clinical application of aromatic immunity in traditional Chinese medicine.
Si-Rui XIANG ; Qin JIAN ; Qi XU ; Jun-Zhi LIN ; Ding-Kun ZHANG ; Ming YANG ; Chuan ZHENG
China Journal of Chinese Materia Medica 2025;50(5):1137-1145
Aromatic immunity in traditional Chinese medicine(TCM) is the medical knowledge accumulated in the process of people's struggling with diseases. It plays an important role in plague prevention, disease treatment, health preservation, and rehabilitation, and has profound TCM basic theoretical support and abundant modern scientific evidence. With the in-depth promotion of the Healthy China initiative and the succession of health needs in the post-COVID-19 era, how to practice the health concept of aromatic immunity in TCM and develop its health service resources with high quality has become an important proposition to be discussed urgently. This paper summarizes the cognitive process, puts forward the basic concept, discusses the scientific connotation and clinical application value, and looks forward to the future development trend of aromatic immunity in TCM, aiming to provide guidance for the development of great health products and promote the application of aromatic immunity in TCM in serving people's health.
Medicine, Chinese Traditional/methods*
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Humans
;
COVID-19/immunology*
;
China
;
Drugs, Chinese Herbal/therapeutic use*
;
SARS-CoV-2
3.Short-term Effects of Fine Particulate Matter and its Constituents on Acute Exacerbations of Chronic Bronchitis: A Time-stratified Case-crossover Study.
Jing Wei ZHANG ; Jian ZHANG ; Peng Fei LI ; Yan Dan XU ; Xue Song ZHOU ; Xiu Li TANG ; Jia QIU ; Zhong Ao DING ; Ming Jia XU ; Chong Jian WANG
Biomedical and Environmental Sciences 2025;38(3):389-393
4.Raman Spectroscopy Combined with Partial Least Squares for Quantitative Analysis of Two Kinds of Microplastics in Water Samples
Jian-Ming DING ; Xin WANG ; Rong-Ling ZHANG ; Li-Yuan ZHOU ; Tian-Long ZHANG ; Hong-Sheng TANG ; Hua LI
Chinese Journal of Analytical Chemistry 2024;52(10):1581-1590
Microplastics(MPs)are emerging contaminants in aquatic environments characterized by their polar structure,small particle size(Typically less than 5 mm),large surface area,good stability,and resistance to biodegradation.They pose adverse effects on the normal physiological activities of aquatic organisms and can accumulate in biota,including humans.Therefore,there is an urgent need for rapid and accurate quantitative analysis of MPs in water environments.In this study,Raman spectroscopy combined with partial least squares(PLS)was employed for rapid and accurate quantitative analysis of polyethylene(PE)and polystyrene(PS)MPs in real water samples.Initially,33 simulated water samples containing different concentrations of MPs were prepared,and their Raman spectra were collected.Six spectral preprocessing methods(Normalization,multiplicative scatter correction,standard normal variate transformation,first derivative,second derivative,and wavelet transform)were investigated for their impact on the predictive performance of PLS calibration models.Subsequently,three variable selection methods including synergy interval partial least squares(SiPLS),variable importance in projection(VIP)and mutual information(MI)were employed to optimize the input variables of the PLS calibration model.The predictive capability of the PLS calibration model was evaluated and validated using leave-one-out cross-validation.Under the optimal conditions of spectral preprocessing,variable selection,input variables and latent variables,the wavelet transform-partial least squares(WT-PLS)calibration model based on distilled water was established,and the contents of PE and PS in real water samples were predicted with prediction correlation coefficients(R2p)of 0.9540 and 0.8472 for PE and PS,respectively,and prediction errors(Errorp)of 0.0690 and 0.1126,respectively.Furthermore,a mixed sample MI-PLS calibration model was developed,demonstrating the best predictive performance in real water samples(With R2p values of 0.9776 and 0.9755 for PE and PS,respectively,and Errorp values of 0.0360 and 0.0392,respectively).This method provided a novel approach and new methodology for quantitative analysis of MPs and other organic pollutants in real water samples.
5.Real-time traking and virtual reality technology-assisted trauma orthopaedic surgery robot for femoral neck fractures
Wei-Gang LOU ; Jian-Ming CHEN ; Shuai-Yi WANG ; Hai-Yang LI ; Ding XU
China Journal of Orthopaedics and Traumatology 2024;37(2):124-128
Objective To investigate the effectiveness of real-time tracking and virtual reality technology(RTVI)used to assist the intraoperative alignment of the trauma orthopaedic surgery robot for the treatment of femoral neck fractures and its impact on the treatment outcome.Methods A retrospective analysis was conducted on 60 patients with femoral neck fractures treated with trauma orthopedic robotic surgery from September 2020 to September 2022.Patients were divided into two groups according to whether RTVI technology was used during surgery to assist robotic surgery.There were 28 patients in the RTVI group(12 males and 16 females),with an average age of(46.2±9.3)years old ranging from 28 to 60 years old.There were 32 patients in the simple Tianji surgical robot group,including 15 males and 17 females,aged(48.2±7.8)years old ranging from 32 to 58.The number of registered fluoroscopy,operation time,total number of intraoperative fluoroscopy,intraoperative blood loss,and hospitalization time of the two groups of patients were observed and recorded.All patients received regular follow-up after surgery,and hip X-rays were routinely reviewed to record Garden alignment index,fracture healing time,postoperative complications,and Harris score.Results All 60 patients were followed up.The RTVI group was followed up for 9 to 16 months with an average of(13.0±l.2)months,and the Tianji surgical robot group alone was followed up for 10 to 14 months with an average of(12.0±1.3)months.During the follow-up period,the femoral neck fractures of both groups of patients healed well,and no complications such as internal fixation loosening and incision infection occurred.The number of registered fluoroscopy,operation time,and number of intraoperative fluoroscopy of patients in the RTVI group were significantly better than those in the simple Tianji surgical robot group(P<0.01).There was no statistically significant difference in intraoperative blood loss,hospital stay,Garden alignment index,fracture healing time,and hip Harris score between two groups(P>0.05).Conclusion Although RTVI technology assisted by the surgical robot for femoral neck fracture surgery has little impact on its postoperative outcome,it can effectively reduce the operating time,the number of intraoperative X-ray projections,and the risk of intraopera-tive radiation exposure to patients.It also shortened the learning curve of the operator and better reflected the precision and ef-ficiency of the trauma orthopaedic surgery robot.
6.Qualitative and quantitative analysis of chemical components of Dracocephalum moldavica based on UPLC-Q-TOF-MS/MS and UPLC.
Ming-Lei XU ; Hui-Min GAO ; Yong-Xin ZHANG ; Zhi-Jian LI ; Yang DING ; Qing-Rong WANG ; Shi-Xia HUO ; Wei-Hong FENG ; Yu-Tong KANG ; Liang-Mian CHEN ; Zhi-Min WANG
China Journal of Chinese Materia Medica 2024;49(23):6352-6367
Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS) was used to rapidly identify the chemical components in Dracocephalum moldavica, and UPLC was employed to determine the content of its main components. MS analysis was performed using an electrospray ionization(ESI) source and data were collected in the negative ion mode. By comparing the retention time and mass spectra of reference compounds, and using a self-built compound database and the PubChem database, 68 compounds were identified from D. moldavica, including 36 flavonoids, 22 phenylpropanoids, 4 phenols, and 6 other compounds. On this basis, a UPLC quantitative method was established to simultaneously determine 8 main components, i.e., luteolin-7-O-glucuronide, apigenin-7-O-glucuronide, rosmarinic acid, diosmetin-7-O-glucuronide, tilianin, acacetin-7-O-glucuronide, acacetin-7-O-(6″-O-malonyl)-glucoside, and acacetin. A Waters ACQUITY BEH C_(18) column(2.1 mm × 100 mm, 1.7 μm) was used, with acetonitrile and a water solution containing 0.1% formic acid and 0.1% phosphoric acid as the mobile phase for gradient elution. The detection wavelength was set at 330 nm, with a flow rate of 0.4 mL·min~(-1), and the column temperature was maintained at 35 ℃. The 8 components demonstrated good linearity(r≥0.999 9) over a wide mass concentration range(50 or 100 times). The average recovery rate ranged from 97.5% to 105.1%, and the relative standard deviations(RSDs) were 0.90% to 3.4%(n= 6), indicating that the method was simple, accurate, and reliable. In 17 batches of D. moldavica samples, the content of these 8 components ranged from 0.405 to 2.10, 0.063 to 0.342, 0.446 to 2.43, 0.415 to 1.47, 1.57 to 4.34, 0.173 to 0.386, 1.00 to 5.40, and 0.069 to 0.207 mg·g~(-1), respectively. These results indicate significant differences in the internal quality of the samples, highlighting the need for strict quality control to ensure their pharmacodynamic efficacy. This study provides a scientific basis for the rapid discovery of pharmacodynamic substances, comprehensive quality control, and the formulation or revision of quality standards for D. moldavica.
Tandem Mass Spectrometry/methods*
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Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Lamiaceae/chemistry*
;
Flavonoids/chemistry*
7.Progress in arthroscopic surgery for injury of superior labrum anterior posterior of shoulder joint.
Zhi-Tao YANG ; Ming-Tao ZHANG ; Jian-Ping ZHOU ; Ding WU ; Tao LIU ; Bo-Rong ZHANG ; Xiang-Dong YUN
China Journal of Orthopaedics and Traumatology 2023;36(2):193-198
Superior labrum anterior posterior (SLAP) injury is a major challenge for orthopedic surgeons, due to the poor healing ability of the injured labrum. Although arthroscopic surgery is the gold standard for the treatment of SLAP injury, there are still disputes about the adaptation of different surgical techniques, the choice of anchors during operation, knotted or knotless anchors, and fixation methods. The authors believe that arthroscopic repair of SLAP lesions is effective for young patients with intact glenoid labrum(<35 years old) or with extensive activity, where single and knotless anchor is preferred. For the older patients(≥35 years old) with degeneration and wear of glenoid labrum, biceps tenodesis is more preferable, and interference screw fixation technique is recommended. As for patients with failed SLAP repair, biceps tenodesis can achieve a high success rate as a revision surgery. By review of the relevant literature in recent years, this paper summarizes the adaptation of different surgical methods of arthroscopic treatment of SLAP injury, intraoperative anchoring techniques, fixation methods and other improved surgical techniques.
Humans
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Adult
;
Shoulder Joint/surgery*
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Arthroscopy/methods*
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Tendon Injuries/surgery*
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Shoulder Injuries/surgery*
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Tenodesis/methods*
8.Elevated Levels of Naturally-Occurring Autoantibodies Against the Extracellular Domain of p75NTR Aggravate the Pathology of Alzheimer's Disease.
Chen-Yang HE ; Ding-Yuan TIAN ; Si-Han CHEN ; Wang-Sheng JIN ; Yuan CHENG ; Jia-Yan XIN ; Wei-Wei LI ; Gui-Hua ZENG ; Cheng-Rong TAN ; Jie-Ming JIAN ; Dong-Yu FAN ; Jun-Rong REN ; Yu-Hui LIU ; Yan-Jiang WANG ; Fan ZENG
Neuroscience Bulletin 2023;39(2):261-272
The extracellular domain (p75ECD) of p75 neurotrophin receptor (p75NTR) antagonizes Aβ neurotoxicity and promotes Aβ clearance in Alzheimer's disease (AD). The impaired shedding of p75ECD is a key pathological process in AD, but its regulatory mechanism is largely unknown. This study was designed to investigate the presence and alterations of naturally-occurring autoantibodies against p75ECD (p75ECD-NAbs) in AD patients and their effects on AD pathology. We found that the cerebrospinal fluid (CSF) level of p75ECD-NAbs was increased in AD, and negatively associated with the CSF levels of p75ECD. Transgenic AD mice actively immunized with p75ECD showed a lower level of p75ECD and more severe AD pathology in the brain, as well as worse cognitive functions than the control groups, which were immunized with Re-p75ECD (the reverse sequence of p75ECD) and phosphate-buffered saline, respectively. These findings demonstrate the impact of p75ECD-NAbs on p75NTR/p75ECD imbalance, providing a novel insight into the role of autoimmunity and p75NTR in AD.
Mice
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Animals
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Alzheimer Disease/pathology*
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Receptor, Nerve Growth Factor
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Amyloid beta-Peptides
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Autoantibodies
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Mice, Transgenic
9.Pharmacokinetic study of Noiiglutide injection,INS068 injection and the compound preparation in Chinese healthy subjects
Xiao-Dong XING ; Ji-Gang ZHANG ; Kai SHEN ; Ming-Jian ZHANG ; Yi-Xin ZHA ; Shu-Jing JIN ; Mei XU ; Wen-Yuan XUE ; Xue-Ying DING
The Chinese Journal of Clinical Pharmacology 2023;39(23):3449-3454
Objective To compare the pharmaceutics and drug interactions of noiiglutide injection,INS068 injection,HR17031 Injection,and noiiglutide+INS068 injection in healthy subjects Methods This was a single center,randomized,open-label,4-cycle,4-cohort trial.Healthy subjects were allocated to 4 groups randomly.HR17031(17 U/0.04 mg),INS068(17 U),noliglycopeptide(0.04 mg),and INS068(17 U)combined with noiiglutide(0.04 mg)were injected subcutaneously into the abdomenon on day 1,8,15 and 22 respectively.Venous blood was collected at different timing before and after administration,and the concentrations of noiiglutide in plasma and INS068 in serum were measured by HPLC-MS/MS method.Relevant pharmacokinetic parameters were calculated using the WinNonlin non compartment model.Results In HR17031,INS068,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of INS068 in serum were calculated and listed as follows:Cmax were(19.50±4.06),(18.10±4.56)and(18.40±5.81)ng·mL-1,tmax was 12,10 and 8 h,t1/2 was(9.27±1.70),(11.00±2.81)and(11.0±3.18)h,AUC0-twere(505.00±62.20),(498.00±70.50)and(491.00±74.20)ng·mL-1·h.In HR17031,noiiglutide,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of noiiglutide in plasma were calculated and listed as follows:Cmax were(3.61±0.82),(4.63±0.87)and(4.54±0.86)ng·mL-1,tmax was all 8.00 h,t1/2 was(10.50±1.61),(9.49±1.40)and(9.55±1.61)h,AUC0-twere(94.30±20.10),(106.00±20.20)and(105.00±19.00)ng·mL-1·h.Conclusion There was no significant difference in bioavailability of INS068 and noiiglutide in HR17031 compared with INS068 and noiiglutide whether combined or used alone.
10.A panel study on the effect of atmospheric PM2.5 exposure on the gut microbiome in healthy elderly people aged 60-69 years old.
En Min DING ; Jiao Nan WANG ; Fu Chang DENG ; Pei Jie SUN ; Chen Feng LI ; Chen Long LI ; Yu WANG ; Jian Long FANG ; Song TANG ; Xiao Ming SHI
Chinese Journal of Preventive Medicine 2023;57(7):1018-1025
Objective: To analyze the short-term effect of individual atmospheric PM2.5 exposure on the diversity, enterotype, and community structure of gut microbiome in healthy elderly people in Jinan, Shandong province. Methods: The present panel study recruited 76 healthy elderly people aged 60-69 years old in Dianliu Street, Lixia District, Jinan, Shandong Province, and followed them up five times from September 2018 to January 2019. The relevant information was collected by questionnaire, physical examination, precise monitoring of individual PM2.5 exposure, fecal sample collection and gut microbiome 16S rDNA sequencing. The Dirichlet multinomial mixtures (DMM) model was used to analyze the enterotype. Linear mixed effect model and generalized linear mixed effect model were used to analyze the effect of PM2.5 exposure on gut microbiome α diversity indices (Shannon, Simpson, Chao1, and ACE indices), enterotype and abundance of core species. Results: Each of the 76 subjects participated in at least two follow-up visits, resulting in a total of 352 person-visits. The age of 76 subjects was (65.0±2.8) years old with BMI (25.0±2.4) kg/m2. There were 38 males accounting for 50% of the subjects. People with an educational level of primary school or below accounted for 10.5% of the 76 subjects, and those with secondary school and junior college or above accounting for 71.1% and 18.4%. The individual PM2.5 exposure concentration of 76 subjects during the study period was (58.7±53.7) μg/m3. DMM model showed that the subjects could be divided into four enterotypes, which were mainly driven by Bacteroides, Faecalibacterium, Lachnospiraceae, Prevotellaceae, and Ruminococcaceae. Linear mixed effects model showed that different lag periods of PM2.5 exposure were significantly associated with a lower gut α diversity index (FDR<0.05 after correction). Further analysis showed that PM2.5 exposure was significantly associated with changes in the abundances of Firmicutes (Megamonas, Blautia, Streptococcus, etc.) and Bacteroidetes (Alistipes) (FDR<0.05 after correction). Conclusion: Short-term PM2.5 exposure is significantly associated with a decrease in gut microbiome diversity and changes in the abundance of several species of Firmicutes and Bacteroidetes in the elderly. It is necessary to further explore the underlying mechanisms between PM2.5 exposure and the gut microbiome, so as to provide a scientific basis for promoting the intestinal health of the elderly.
Aged
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Humans
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Male
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Middle Aged
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Feces/microbiology*
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Gastrointestinal Microbiome
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Particulate Matter
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RNA, Ribosomal, 16S/genetics*
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Female

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